CASCADE Workshop/Retreat on Big Data Challenges, Techniques, and Applications
We invite you to join us for the CASCADE Workshop/Retreat on Big Data Challenges, Techniques, and Applications.
When: Friday, April 26th 2019
Where: 699 S. Mill Ave. #510 (Brickyard Building), Tempe, AZ 85281
The day will include invited sessions by academic and industrial partners, presentation sessions of ongoing federally funded work, poster sessions by students and post-docs, and break-out planning sessions for helping developing small, medium, or large scale and strategic proposals. The event will be a great opportunity to network with colleagues in ASU's and NMSU's Big Data, Data Science, and Data Engineering communities.
Agenda:
8:30 - 9:00 a.m. |
Light Breakfast |
BYENG 510 |
9:00 - 9:30 a.m. |
Welcome and Introductions
|
BYENG 510 |
9:30 - 9:50 a.m. |
Big Data and Weather David DuBoise, Environmental Sciences, New Mexico State University |
BYENG 510 |
9:50 - 10:10 a.m. |
Big Data and Smart Grids Huiping Cao, Computer Science, New Mexico State University. |
BYENG 510 |
10:10 - 10:30 a.m. |
Big Data and High Performance Computing Ming Zhao, CIDSE-CASCADE, Arizona State University |
BYENG 510 |
10:30 - 10:40 a.m. |
BREAK |
|
10:40 - 11:00 a.m. |
Big Data and Causal Analytics Huan Liu, CIDSE-CASCADE, Arizona State University |
BYENG 510 |
11:00 - 11:20 a.m. |
Big Data and Risk Analytics Petar Jevtic, School of Mathematical and Statistical Sciences, Arizona State University |
BYENG 510 |
11:20 - 11:40 a.m. |
Big Data and BioDiversity Leah Gerber, Center for Biodiversity Outcomes, Arizona State University |
BYENG 510 |
11:40 - 12:00 a.m. |
Big Data and Brain Health Brian Appavu, Phoenix Children’s Hospital |
BYENG 510 |
12:00 a.m.- 1:30p.m. |
Working Lunch/Poster Session Poster presenters: Hamidreza Damavandi, Data-driven Tools to Emulate the Coupled Hydrological-Hydrodynamic Models Jin Wen, Data-driven Whole Building Fault Detection and Diagnosis Brian Appavu, Intracranial Electroencephalography after Pediatric Traumatic Brain Injury Lu Cheng, XBully: Cyberbullying Detection within a Multi-Modal Context Ruocheng Guo, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects Zhikang Zhang, APRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction Yitao Chen, Exploring the Use of Synthetic Gradients for Distributed Deep Learning Across Cloud and Edge Resources Saman Biookaghazadeh, FPGA-Based Heterogeneous Computing for Data-Intensive Applications Hans Behrens, DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles Yash Garg, Leveraging Image Features for Deep Network Architecture Search Brian Gmyrek, GPS Insights Allen Lee, Discoverable, Accessible, Documented, Reusable, and Interoperable: the Imperative to Publish Code in Modern Science Yuhan Sun, Demonstrating Spindra: A Geospatial Knowledge Graph Management System Vamsi Meduri, Recurrent Neural Networks for Dynamic User Intent Prediction in Human-Database Interaction Qixu Gong, Skyline Queries Constrained by Multi-Cost Transportation Networks Edgar Ceh-Varela, Multi-criteria Package Recommendations for a Group of Users Aditi Kulkarni, The Landscape of Metagenomes in Wild Populations of Anopheles gambiae, An. sinensis, Aedes albopictus and Ae. aegypti Giulia Pedrialli, Subspace COmmunication based OPtimization (SCOOP) Josue Gutierrez, Classifying Video Imagery From Weather Station Cameras Manjusha Ravindranath, Decision Making Machines Yezhou Yang, TBD Mohammad Farhadi TBD |
BYAC LOBBY |
1:30 -2:00 p.m. |
Lightning Talks Hamidreza Ghasemi Damavandi, Data-driven Tools to Emulate the Coupled Hydrological-Hydrodynamic Models Allen Lee, CoMSES Net: Promoting accessibility, transparency, reusability, and interoperability for computational modeling in the social & ecological sciences Dragan Boscovic, Tokenization of physical assets and the impact of Data Engiennering (IoT, BigData, ML/AI) Giulia Pedrielli, Data Enabled Models for Improved Understanding and Control of Large Scale Dynamical Systems Parth Nagarkar, Challenges in Efficient Processing of Heterogeneous Images |
BYENG 510 |
2:00 - 2:20 p.m. |
Big Data and Complex System Modelling K. Selcuk Candan, CIDSE-CASCADE, Arizona State University |
BYENG 510 |
2:20 - 2:40 p.m. |
Big Data and Microbiome Aditi Kulkarni, Biology, New Mexico State University |
BYENG 510 |
2:40 - 3:00 p.m. |
Big Data and Building Energy Jin Wen, Department of Civil, Architectural, and Environmental Engineering, Drexel University |
BYENG 510 |
3:00 - 3:15pm |
BREAK |
|
3:15 - 4:00 p.m. |
Collaboration Opportunities - 5min pitches Beckett Sterner Brian Appavu Petar Javtic Huan Liu K. Selcuk Candan Hamidreza Ghasemi Damavandi Giulia Pedrielli |
BYENG 510 |
4:00 - 4:30 p.m. |
Breakout Sessions |
BYENG TBD |
This event is supported by
- ASU's Center for Assured and Scalable Data Engineering (CASCADE)
and NSF Awards
- #1633381,"BIGDATA: Discovering Context-Sensitive Impact in Complex Systems'',
- #1610282, "DataStorm: A Data Enabled System for End-to-End Disaster Planning and Response'',
- #1629888, "GEARS - An Infrastructure for Energy-Efficient Big Data Research on Heterogeneous and Dynamic Data"
CASCADE R&D is supported by funds from several funding agencies, including NSF and DOE, as well as various industrial partners.